Move on Wandavision, Climavision faces the big time with AI
A new weather technology start-up said it has created a new weather radar and network of artificial intelligence (AI)-powered satellites to face the big weather.
Climavision, which has $ 100 million in equity funding, has created a network of high-resolution weather radar and satellites that combines proprietary low-altitude data with machine learning and AI technology.
Chris Goode, CEO of Climavision, says the new detection network will fill the coverage gaps of existing NOAA and NWS systems in the United States. Goode adds that the current weather monitoring model provides a picture of the weather at a given point in time, but the picture is not complete.
“The United States, like many other governments around the world, relies on a network of weather radars known as NEXRAD and these are strategically placed across the country to collect weather data, in time. real, ”Goode said. “In addition to NEXRAD, they also use other forms of weather collection, such as weather balloons and aircraft sensors which are deployed to collect additional data points at different parts of the atmosphere.”
“There are gaps in coverage between the radars of the NEXRAD network and gaps in the mixing levels of the atmosphere, where volatile weather forms, and at the lower levels, where this weather occurs,” added Goode. . “The Climavision system will fill these gaps with critical weather radar infrastructure and bring real-time data with spatial observations to get a full view of what’s going on from scratch. “
“Once we collect data directly from the source, we use AI, machine learning, and IoT to process, interpret and distribute the data,” Goode said. “We apply the most sophisticated technology to public datasets so that beyond our data collection, we can learn even more of what is already available. “
Goode says traditional weather observations are made up of several variables, including temperature, wind, pressure, and humidity, which are interconnected and complex.
“We are using AI and machine learning to perform quality control of these observations that come from multiple platforms and various channels based on their respective sensitivity to different components of the atmosphere at different atmospheric levels,” a Goode said. “Machine learning, AI like artificial neural network (ANN) and regression are used to extract the most impactful weather information and to integrate information from different platforms. “
Goode says the company is making a fundamental change in weather forecasting.
“We can all agree that weather is one of the few phenomena with almost universal application. Understanding the weather in a more intimate, detailed, and longer time frame has an impact on every person, every business, every industry, ”said Goode. “So a better understanding of what’s going on in the atmosphere – an hour or two earlier, sometimes even a few minutes earlier – has the potential to save money and, more importantly, save lives. . “
“If you don’t know what to expect – flash floods, hail, snow, tornadoes – you can’t prepare,” adds Goode.
The company plans to roll out the technology in the fourth quarter of 2021.